Skip to content

Science1 publisher3 min readPublished

ORNL says the lipid bilayer itself remembers, putting membranes on the neuromorphic parts list

Oak Ridge researchers report memristance and memcapacitance in the same model membrane, which turns lipid chemistry into a hardware design variable rather than biological background.

The Scientist · Science desk

Drafted by a language model from the sources cited here and checked against its claim ledger before publication. How we use AISend a correction

Illustration accompanying ORNL says the lipid bilayer itself remembers, putting membranes on the neuromorphic parts list
Generated illustration

What happened

  • A decades-long collaboration between two scientists at Oak Ridge National Laboratory produced findings suggesting that cellular membranes play a direct role in how memory and learning form in the brain.
  • The work aims to advance materials science for neuromorphic, or low-power, brain-inspired computing technologies, and research on neurological disorders.
  • Although biological membranes vary in complexity, they all share a common foundation: a lipid bilayer, in which each lipid has a hydrophilic (water-attracting) head and a hydrophobic (water-repelling) tail.
  • To study membrane properties under electrical stimulation, Katsaras and Collier used water droplets suspended in oil, known as a droplet interface bilayer.
  • The early droplet interface bilayer experiments showed unexpected electrical data, prompting the researchers to shift attention to membranes surrounding neurons, where many memory and learning processes occur.

Compiled by The ScientistSomething wrong?How this is made

Why it matters

Two Oak Ridge National Laboratory scientists say their model membranes have shown behaviour consistent with memory and learning, implying that cellular membranes play a direct role in how those processes form in the brain [1][7]. The consequence for hardware people is narrow but real: if the bilayer is doing part of the computing, then lipid composition becomes a design parameter for low-power neuromorphic devices rather than a detail of the biology that inspired them [2].

The setup is deliberately crude. To watch membrane behaviour under electrical stimulation, John Katsaras and Pat Collier used a droplet interface bilayer, water droplets suspended in oil [4]. Every biological membrane, however complicated, rests on the same lipid bilayer foundation, each lipid with a water-attracting head and a water-repelling tail [3]. The early electrical data was unexpected, which pushed the pair toward the membranes surrounding neurons, where much memory and learning activity happens [5]. According to Collier, those first measurements showed stable changes in the membrane's electrical behaviour, patterns normally associated with neural activity [6].

The load-bearing claim is about circuit elements. Collier says memristance and memcapacitance, properties of devices whose electrical response depends on the history of applied voltage, were observed within the same membrane: one region of a bilayer may rearrange into a memory resistor while another behaves as a memory capacitor [9][10]. That matters because ion activity has long been understood to drive brain signalling, and Katsaras and Collier say the bilayer is not a passive container but an active regulator of how ions move through membrane proteins [8]. Collier argues the properties could accelerate new classes of soft materials for neural sensing and computing [11].

The pedigree here is instrumentation rather than a single breakthrough. Katsaras is a neutron scattering scientist at ORNL's Spallation Neutron Source and Collier is a cleanroom process engineer at the Center for Nanophase Materials Sciences, both DOE Office of Science user facilities [16]. ORNL credits the combination of soft matter expertise, neutron capability and co-located facilities with making the measurements possible [19]. Katsaras has spent about 40 years on the structure and dynamics of lipid membranes; Collier came in from the soft-matter-for-neuromorphic-computing side [17]. Katsaras describes the result as applying decades of soft matter experience to a problem neither would have imagined pursuing five years ago [18].

Read the announcement for what it is. It reports no switching energies, no retention times and no endurance figures, and it names no published paper, so nobody should be sizing a chip against it yet [23]. The work also extends beyond the two named scientists to collaborators across the laboratory, including staff at the Oak Ridge Leadership Computing Facility [22].

What to watch is the next experiment, because it is the one that either supplies a mechanism or does not. The team plans to use neutron scattering plus lithium to show how molecules inside these membranes rearrange to open or close the flow of potassium ions, faucet-style [12]. Neutrons are the point: they give direct, nondestructive, atomic-scale measurement of how a bilayer alters the environment around a membrane protein [13]. Lithium is the second hook, already in wide clinical use for bipolar disorder and studied for neuroprotective effects in neurodegenerative disease including Alzheimer's [14]; ORNL says that if the lipid-lithium interaction can be demonstrated, it could inform lithium's use in artificial synapses and other neuromorphic components [15]. A published structural mechanism for potassium gating by lipid rearrangement would be the signal that membrane materials belong in a device engineer's specification. Until then this is a promising measurement with an unquantified device story attached.

Loading claim ledger
Loading source directory links
Loading share composer
Loading topic controls
Loading related stories